Join Percona’s Product Manager, Michael Coburn as he presents Using Percona Monitoring and Management to Troubleshoot MySQL Performance Issues on Thursday, September 7, 2017, at 10:00 am PDT / 1:00 pm EDT (UTC-7).

Reserve Your Spot

Successful applications often become limited by MySQL performance. Michael will show you how to get great MySQL performance using Percona Monitoring and Management (PMM). There will be a demonstration of how to leverage the combination of the …

With this Monyog release, we will provide monitoring capabilities for RDS/Aurora OS metrics along with an emphasis on the User Experience in several respects including a number of GUI design details. Additionally, the release adds a number of bug fixes and implements a number of user requests.

Changes as compared to Monyog MySQL Monitor 8.0.4 include:

Features:

• It is now possible to get OS metrics from Amazon RDS/Aurora (but not Azure, where interface for same is disabled).
• Added an option to generate a token in Monyog to be used with the MONyog API as an alternative to Monyog user and password.
• Added an option to define a “seconds_behind_master” setting in Replication page determining if the slave should be considered in sync or not. On some environments, slave will rarely be fully in sync and in such cases, the alerting was not really useful before. …

With this Monyog release, we will provide monitoring capabilities for RDS/Aurora OS metrics along with an emphasis on the User Experience in several respects including a number of GUI design details. Additionally, the release adds a number of bug fixes and implements a number of user requests.

Changes as compared to Monyog MySQL Monitor 8.0.4 include:

Features:

• It is now possible to get OS metrics from Amazon RDS/Aurora (but not Azure, where interface for same is disabled).
• Added an option to generate a token in Monyog to be used with the MONyog API as an alternative to Monyog user and password.
• Added an option to define a “seconds_behind_master” setting in Replication page determining if the slave should be considered in sync or not. On some environments, slave will rarely be fully in sync and in such cases, the alerting was not really useful before. …

In this blog, we will provide answers to the Q & A for the MySQL In the Cloud: Migration, Best Practices, High Availability, Scaling webinar.

First, we want to thank everybody for attending the June 7, 2017 webinar. The recording and slides for the webinar are available here. Below is the list of your questions that we were unable to answer during the webinar:

How does Percona XtraDB cluster work with AWS for MySQL clustering?

…

The slides and videos from the Percona Live Open Source Database Conference 2017 are available for viewing and download. The videos and slides cover the keynotes, breakout sessions and MySQL and MongoDB 101 sessions.

To view slides, go to the Percona Live agenda, and select the talk you want slides for from the schedule, and click through to the talk web page. The slides are available below the talk description. There is also a page with all the slides that is searchable by topic, talk title, speaker, company or keywords.

To view videos, go to the …

I heard a frequent question at last week’s Percona Live conference regarding Percona Monitoring and Management (PMM): How much disk space should I allocate for PMM Server?

First, let’s review the three components of Percona Monitoring and Management that consume non-negligible disk space:

1. Prometheus data source for the time series metrics
2. Query Analytics (QAN) which uses Percona Server XtraDB (Percona’s enhanced version of the InnoDB storage engine)
3. Orchestrator, also backed by Percona Server XtraDB

Of these, you’ll find that Prometheus is generally your largest consumer of disk space. Prometheus hits a steady state of disk utilization once you reach the defined storage.local.retention period. If you deploy Percona Monitoring and Management …

In this blog post, I will discuss the solutions for monitoring databases (which includes alerting) I have worked with and recommended in the past to my clients. This survey will mostly focus on MySQL solutions. 

One of the most common issues I come across when working with clients is monitoring and alerting. Many times, companies will fall into one of these categories:

• No monitoring or alerting. This means they have no idea what’s going on in their environment whatsoever.
• Inadequate monitoring. Maybe people in this camp are using a platform that just tells them the database is up or connections are happening, but there is no insight into what the database is doing.
• Too much monitoring and alerting. Companies in this camp have tons of dashboards filled with graphs, and their inbox is full of alerts that get promptly ignored. This type of monitoring is just as useful as the first option. Alert …

In this blog post, we’ll discuss services monitoring using probabilistic fault detection.

Let’s admit it, the task of monitoring services is one of the most difficult. It is time-consuming, error-prone and difficult to automate. The usual monitoring approach has been pretty straightforward in the last few years: setup a service like Nagios, or pay money to get a cloud-based monitoring tool. Then choose the metrics you are interested in and set the thresholds. This is a manual process that works when you have a small number of services and servers, and you know exactly how they behave and what you should monitor. These days, we have hundred of servers with thousands of services sending us millions of metrics. That is the first problem: the manual approach to configuration doesn’t work.

That is not the only problem. We know that no two servers perform the same because no two servers have exactly the …

In this blog series, I will discuss common questions I receive as a database Solutions Engineer at Percona. In this role, I speak with a wide array of MySQL and MongoDB users responsible for both extremely large and complex environments to smaller single-server environments. Typically we are contacted when the customer is about to embark on an architecture migration or redesign, or they have performance issues in their production environment. The purpose of this blog is to put together a list of common questions I field while speaking with active MySQL and MongoDB users.

We are considering a migration to AWS. What solution is right for us: EC2, RDS, or Aurora?

We get this question a lot. Moving to AWS is a hot trend. Fellow Solution Engineer Rick Golba wrote …

Uber has been in the news for numerous reasons in the past few days. Be it expansion to new countries or selling its China operations to Didi chuxing, Uber is growing exponentially and expanding into newer markets. Recently, Uber also announced a major change – Changing their databases from Postgres to MySQL. While enterprises are constantly checking and trying to find the right fit for their databases, it takes immense research and analysis to decide on THE one.

Each enterprise has their own requirements and it is imperative for the company to decide on the database that suits their needs. This is exactly what Uber did. Uber recently shared a …